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\n\n \n \n \n \n \n Real-time prediction of an anesthetic monitor index using machine learning.\n \n \n \n\n\n \n Caelen, O.; Cailloux, O.; Ghoundiwal, D.; Miranda, A. A.; Barvais, L.; and Bontempi, G.\n\n\n \n\n\n\n In
Proceedings of The First International Workshop on Knowledge Discovery in Health Care and Medicine, pages 78 – 89, Athens, Greece, September 2011. \n
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@inproceedings{caelen_real-time_2011,\n\taddress = {Athens, Greece},\n\ttitle = {Real-time prediction of an anesthetic monitor index using machine learning},\n\tabstract = {An anesthesiologist controls the level of consciousness of a patient undergoing surgery by appropriately dosing hypnotic drugs. The information provided by the monitoring devices may be utilized in order to accomplish this task. One such monitor provides a dimensionless quantity derived from the electroencephalogram called bispectral index (BIS), which could quantify the level of awareness of the patient. This article discusses the use of machine learning techniques to implement a predictive model of the BIS based on the variation of the hypnotic drugs. Such a model learned from a database of recorded operations can aid realtime decision making during the course of an operation.\nIn order to deal with inter-individual variability, the proposed model takes into account patient physiology as well as the reactions of the patient during the early phases of the operation. Two models of the bispectral index behavior are assessed and compared in this work: a linear predictor and a local learning predictor. These prediction models were software implemented and their accuracies were assessed by a computerized cross-validation study and were tested in real situations.},\n\tbooktitle = {Proceedings of {The} {First} {International} {Workshop} on {Knowledge} {Discovery} in {Health} {Care} and {Medicine}},\n\tauthor = {Caelen, Olivier and Cailloux, Olivier and Ghoundiwal, Djamal and Miranda, Abhilash Alexander and Barvais, Luc and Bontempi, Gianluca},\n\tmonth = sep,\n\tyear = {2011},\n\tpages = {78 -- 89}\n}\n\n
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\n An anesthesiologist controls the level of consciousness of a patient undergoing surgery by appropriately dosing hypnotic drugs. The information provided by the monitoring devices may be utilized in order to accomplish this task. One such monitor provides a dimensionless quantity derived from the electroencephalogram called bispectral index (BIS), which could quantify the level of awareness of the patient. This article discusses the use of machine learning techniques to implement a predictive model of the BIS based on the variation of the hypnotic drugs. Such a model learned from a database of recorded operations can aid realtime decision making during the course of an operation. In order to deal with inter-individual variability, the proposed model takes into account patient physiology as well as the reactions of the patient during the early phases of the operation. Two models of the bispectral index behavior are assessed and compared in this work: a linear predictor and a local learning predictor. These prediction models were software implemented and their accuracies were assessed by a computerized cross-validation study and were tested in real situations.\n
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\n\n \n \n \n \n \n \n Parameterize a territorial risk evaluation scale using multiple experts knowledge through risk assessment examples.\n \n \n \n \n\n\n \n Cailloux, O.; and Mousseau, V.\n\n\n \n\n\n\n In Bérenguer, C.; Grall, A.; and Guedes Soares, C., editor(s),
Advances in Safety, Reliability and Risk Management, pages 2331–2339, Troyes, France, September 2011. Taylor and Francis Group, London\n
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@inproceedings{cailloux_parameterize_2011,\n\taddress = {Troyes, France},\n\ttitle = {Parameterize a territorial risk evaluation scale using multiple experts knowledge through risk assessment examples},\n\tisbn = {978-0-415-68379-1},\n\tabstract = {Evaluating and comparing the threats and vulnerabilities associated with territorial zones according to multiple criteria (industrial activity, population, etc.) can be a time-consuming task and often requires the participation of several experts and decision makers. Rather than a direct evaluation of these zones, building a risk evaluation scale and using it in a formal procedure permits to automate the assessment and therefore to apply it in a repeated way and in large-scale contexts and, provided the chosen procedure and scale are accepted, to make it objective. One of the main difficulty of building such a formal evaluation procedure is to account for the multiple experts knowledge and decision makers preferences. The procedure used in this article, ELECTRE TRI, uses the performances of each territorial zone on multiple criteria, together with preferential parameters, to qualitatively assess their associated risk level. The preferential parameters to be determined are the category limits, i.e. the limits on each criterion of the performance range associated with a given risk level, and the weights associated with the different criteria. To obtain these parameters with no direct questioning of the stakeholders, tools based on mathematical programming have been developed to deduce these preferential parameters from assessment examples. In this article, several such tools are applied together in order to build a complete example leading to the definition of a territorial risk evaluation scale taking into account the preferences of multiple stakeholders.},\n\tbooktitle = {Advances in {Safety}, {Reliability} and {Risk} {Management}},\n\tpublisher = {Taylor and Francis Group, London},\n\tauthor = {Cailloux, Olivier and Mousseau, Vincent},\n\teditor = {Bérenguer, Christophe and Grall, Antoine and Guedes Soares, Carlos},\n\tmonth = sep,\n\tyear = {2011},\n\tpages = {2331--2339},\n\turl_HAL = {https://hal-ecp.archives-ouvertes.fr/hal-00614714/},\n\turl_Article = {https://hal-ecp.archives-ouvertes.fr/hal-00614714/document},\n\turl_Proceedings = {https://www.crcpress.com/Advances-in-Safety-Reliability-and-Risk-Management-ESREL-2011/Berenguer-Grall-Guedes-Soares/p/book/9780415683791},\n\turl_Conference = {http://www1.utt.fr/esrel2011/}\n}\n\n
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\n Evaluating and comparing the threats and vulnerabilities associated with territorial zones according to multiple criteria (industrial activity, population, etc.) can be a time-consuming task and often requires the participation of several experts and decision makers. Rather than a direct evaluation of these zones, building a risk evaluation scale and using it in a formal procedure permits to automate the assessment and therefore to apply it in a repeated way and in large-scale contexts and, provided the chosen procedure and scale are accepted, to make it objective. One of the main difficulty of building such a formal evaluation procedure is to account for the multiple experts knowledge and decision makers preferences. The procedure used in this article, ELECTRE TRI, uses the performances of each territorial zone on multiple criteria, together with preferential parameters, to qualitatively assess their associated risk level. The preferential parameters to be determined are the category limits, i.e. the limits on each criterion of the performance range associated with a given risk level, and the weights associated with the different criteria. To obtain these parameters with no direct questioning of the stakeholders, tools based on mathematical programming have been developed to deduce these preferential parameters from assessment examples. In this article, several such tools are applied together in order to build a complete example leading to the definition of a territorial risk evaluation scale taking into account the preferences of multiple stakeholders.\n
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\n\n \n \n \n \n \n \n Constrained Multicriteria Sorting Method Applied to Portfolio Selection.\n \n \n \n \n\n\n \n Zheng, J.; Cailloux, O.; and Mousseau, V.\n\n\n \n\n\n\n In Brafman, R. I.; Roberts, F. S.; and Tsoukiàs, A., editor(s),
Proceedings of the 2nd International Conference on Algorithmic Decision Theory, volume 6992, of
Lecture Notes in Computer Science, pages 331–343, Rutgers, United States, October 2011. Springer\n
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@inproceedings{zheng_constrained_2011,\n\taddress = {Rutgers, United States},\n\tseries = {Lecture {Notes} in {Computer} {Science}},\n\ttitle = {Constrained {Multicriteria} {Sorting} {Method} {Applied} to {Portfolio} {Selection}},\n\tvolume = {6992},\n\tisbn = {978-3-642-24872-6},\n\tdoi = {10.1007/978-3-642-24873-3_25},\n\tabstract = {The paper focuses on portfolio selection problems which aim at selecting a subset of alternatives considering not only the performance of the alternatives evaluated on multiple criteria, but also the performance of portfolio as a whole, on which balance over alternatives on specific attributes is required by the Decision Makers (DMs). We propose a two-level method to handle such decision situation. First, at the individual level, the alternatives are evaluated by the sorting model Electre Tri which assigns alternatives to predefined ordered categories by comparing alternatives to profiles separating the categories. The DMs’ preferences on alternatives are expressed by some assignment examples they can provide, which reduces the DMs’ cognitive efforts. Second, at the portfolio level, the DMs’ preferences express requirements on the composition of portfolio and are modeled as constraints on category size.\nThe method proceeds through the resolution of a Mixed Integer Program (MIP) and selects a satisfactory portfolio as close as possible to the DMs’ preference.\nThe usefulness of the proposed method is illustrated by an example which integrates a sorting model with assignment examples and constraints on the portfolio definition. The method can be used widely in portfolio selection situation where the decision should be made taking into account the individual alternative and portfolio performance simultaneously.},\n\tbooktitle = {Proceedings of the 2nd {International} {Conference} on {Algorithmic} {Decision} {Theory}},\n\tpublisher = {Springer},\n\tauthor = {Zheng, Jun and Cailloux, Olivier and Mousseau, Vincent},\n\teditor = {Brafman, Ronen I. and Roberts, Fred S. and Tsoukiàs, Alexis},\n\tmonth = oct,\n\tyear = {2011},\n\tpages = {331--343},\n\turl_HAL = {https://hal.archives-ouvertes.fr/hal-00951743},\n\tIGNORED_COMMENT = {also: https://hal-ecp.archives-ouvertes.fr/hal-00614734/, but the PDF is ugly},\n\turl_Article = {https://hal.archives-ouvertes.fr/hal-00951743/document}\n}\n\n
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\n The paper focuses on portfolio selection problems which aim at selecting a subset of alternatives considering not only the performance of the alternatives evaluated on multiple criteria, but also the performance of portfolio as a whole, on which balance over alternatives on specific attributes is required by the Decision Makers (DMs). We propose a two-level method to handle such decision situation. First, at the individual level, the alternatives are evaluated by the sorting model Electre Tri which assigns alternatives to predefined ordered categories by comparing alternatives to profiles separating the categories. The DMs’ preferences on alternatives are expressed by some assignment examples they can provide, which reduces the DMs’ cognitive efforts. Second, at the portfolio level, the DMs’ preferences express requirements on the composition of portfolio and are modeled as constraints on category size. The method proceeds through the resolution of a Mixed Integer Program (MIP) and selects a satisfactory portfolio as close as possible to the DMs’ preference. The usefulness of the proposed method is illustrated by an example which integrates a sorting model with assignment examples and constraints on the portfolio definition. The method can be used widely in portfolio selection situation where the decision should be made taking into account the individual alternative and portfolio performance simultaneously.\n
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